Tired of irrelevant product search results? See how AlloyDB for PostgreSQL revolutionizes product discovery in this real-world demo! We showcase how AlloyDB’s native AI capabilities enable advanced search techniques directly within your database, significantly enhancing the customer experience for retailers like the fictional "Cymbal Shops". In this demo, you’ll see: Baseline Problem: Limitations of basic SQL and standard Full-Text Search (FTS). Semantic Search: Using AlloyDB AI and Vertex AI integration to generate text embeddings for understanding user intent (e.g., "purse" vs. "bag"). High-Performance Vectors: Leveraging Google’s cutting-edge ScaNN index for ultra-fast approximate nearest neighbor (ANN) vector similarity searches. Hybrid Search Power: Combining traditional SQL (for SKUs), Full-Text Search (for keyword relevance), and Vector Search (for semantic meaning) into a single, powerful query for optimally ranked results. Multimodal Search: Going beyond text! Searching for products using image uploads, powered by image embeddings and vector search within AlloyDB. We also touch on video embeddings. The AlloyDB Advantage: Unified platform, superior relevance, high performance & scalability, flexibility, and simplified architecture. Learn how AlloyDB integrates vector search, FTS, and traditional SQL to create a truly intelligent and responsive product search engine. No smoke and mirrors – just powerful database capabilities.
Resources:
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Speakers: Paul Ramsey
Products Mentioned: AlloyDB for PostgreSQL
